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| Web URL(s): | https://dl.sciencesocieties.org/publications/jeq/articles/32/3/1138
Last checked: 12/16/2016
https://dl.sciencesocieties.org/publications/jeq/pdfs/32/3/1138
Last checked: 12/16/2016
Requires: PDF Reader |
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| Publication Type:
| Refereed |
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| Author(s): | Walden, Rebecca R.;
Haith, Douglas A. |
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| Author Affiliation: | Walden: Blue: Land, Water, Infrastructure, Clayton, North Carolina; Haith: Department of Biological and Environmental Engineering, Cornell University, Ithica, New York |
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| Title: | Estimating turf pesticide volatilization from simple evapotranspiration models |
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| Section: | Short communications
Other records with the "Short communications" Section
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| Source: | Journal of Environmental Quality. Vol. 32, No. 3, May/June 2003, p. 1138-1143. |
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| Publishing Information: | Madison, Wisconsin: American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America |
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| # of Pages: | 6 |
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| Keywords: | TIC Keywords: Models; Pesticides; Evapotranspiration; Temperatures; Wind; Volatility
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| Abstract/Contents: | "A previously developed model by Haith et al. (2002) related pesticide volatilization from turf to evapotranspiration (ET) by scaling factors determined from vapor pressures and heats of vaporization. Although the model provided volatilization estimates that compared well with field measurements, it relied on the Penman ET equation, requireing hourly temperature, wind speed, and solar radiation data, none of which are routinely available at field sites. The current study determined that the volatilization model works equally well with a simpler ET equation requiring only daily temperatures. Three daily temperature-based ET models were evaluated as vehicles for estimating pesticide volatilzation from turf: Hamon, Hargreaves-Samani, and a modified Priestly-Taylor. When compared with field volatilization measurements for eight pesticides, volatilization estimates produced from the Hargreaves-Samani model most closely approximated both the field observations and the previous estimates based on the more data-intensive Penman model. Mean estimated volatilization exceeded mean observations by 15% and the coefficeint of variation (R2) between estimates and observations was 0.65. The comparable values based on Penman ET were 17% and 0.63, respectively." |
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| Language: | English |
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| References: | 13 |
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| Note: | Tables |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Walden, R. R., and D. A. Haith. 2003. Estimating turf pesticide volatilization from simple evapotranspiration models. J. Environ. Qual. 32(3):p. 1138-1143. |
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| Web URL(s):
https://dl.sciencesocieties.org/publications/jeq/articles/32/3/1138
Last checked: 12/16/2016
https://dl.sciencesocieties.org/publications/jeq/pdfs/32/3/1138
Last checked: 12/16/2016
Requires: PDF Reader |
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MSU catalog number: S 900 .J6 |
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